Java如何处理前端传过来的Base64图片

    public static void main(String[] args) {//前端传过来的Base64转码过的图片码String  data = 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";OutputStream outputStream = null;try {File file = new File("D:/temp/test.jpg");file.createNewFile();outputStream = new FileOutputStream("D:/temp/test.jpg");BASE64Decoder decoder = new BASE64Decoder();//转码byte[] bytes = decoder.decodeBuffer(data);//输入到文件里outputStream.write(bytes);} catch (IOException e) {e.printStackTrace();}}

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